The book series Global environmental governance series was published in 2016 by Andrew Cooper. It has a BNB ID of GBB658731 and includes the book Governing global health : challenge, response, innovation.

To strengthen the governance of and programmatic and administrative support for Multilateral Environmental Agreements (MEAs) by United Nations organizations by identifying measures to promote enhanced coordination, coherence and synergies between MEAs and the United Nations system, thus increasing United Nations system's contribution towards a more integrated approach to international environmental governance and management at national, regional and international levels.Available onlineCall Number: [EL]Physical Description: 49 p.

Policy actors address complex environmental problems by engaging in multiple and often interdependent policy issues. Policy issue interdependencies imply that efforts by actors to address separate policy issues can either reinforce (‘win-win’) or counteract (‘trade-off’) each other. Thus, if interdependent issues are managed in isolation instead of being coordinated, the most effective and well-balanced solution to the underlying problem might never be realised. This study asks if reinforcing and counteracting interdependencies have different impacts on perception and collaboration. Our empirical study of collaborative water governance in the Norrström basin, Sweden, shows that policy actors often avoid collaborating when the policy issues exhibit reinforcing interdependencies. Our evidence indicates a perceived infeasibility of acting on reinforcing interdependencies. We also find that actors do not consider counteracting interdependencies (‘trade-offs’) at all when they engage in collaboration. Further, even though actors were aware of counteracting and reinforcing interdependencies, our analyses suggest they might be less aware of the former. These findings illustrate that actors either avoid each other due to policy issue interdependencies or, at best, ignore existing interdependencies when engaging in collaboration. Our study highlights the importance of problem perception in accomplishing integrated solutions to complex environmental problems, and of how understandings of different types of interdependencies shape collaboration in environmental governance.

This dataset consists of social network analysis data and policy issue network data. Network data consists of nodes (rows and columns) and links (matrix cells). In the social network data, rows and columns represent actors and matrix cells their collaboration. 1 indicates collaboration, 0 indicates no collaboration. In the policy issue network data, rows and columns represent policy issues, and matrix cells their reinforcing or counteracting interdependencies. Two different policy issue networks (one reinforcing and one counteracting) are represented. The actor-issue file reports the engagement of an actor in a given issue, i.e. that the actor works with that specific issue. The data also includes an actor attribute file, where each row represents the same actor as in the social network data and each column a specific attribute that might characterise the actor (1-yes,0-no). The data files are compatible with the free software MpNet (http://www.melnet.org.au/pnet), and for running Exponential Random Graph Models.

For more information see: Hedlund, J., Nohrstedt, D., Morrison, T. et al. Challenges for environmental governance: policy issue interdependencies might not lead to collaboration. Sustain Sci (2022). DOI: https://doi.org/10.1007/s11625-022-01145-8

The dataset covers the evolution of the governance design of the institutional water regimes in Netherland, France, Belgium, Switzerland, Italy and Spain from 1750 to 2004. It is based on the research project EUWARENESS. We code for extent and integration of these six institutional resource regime. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

The Appendix A a Microsoft Excel (.xlsx) file composed by a node file and an edges files.The node file is organized into three columns: A: id of the node which could (a) the official EU-code of the LIFE project or (b) the id we have attributed to organizations financed B: label of the node (equals to the id) C: type One if an organization is considered;Two if a project is considered. The edge file is organized in different columns: A: Source B: Target C: Type (undirect relation) D: Id (of the edge) E: Label F: Time set (for dynamic representations) G: Weight (of the edge) H: start (of the edge)I: end (of the edge) THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Since 2011, Chinese environmental authorities have undertaken a project of “occupying” online spaces and social media such as Weibo. This has been analysed alternatively as an attempt to improve environmental governance, or as a new tool of control over online environmental discourses. This article investigates the use of microblogs by 172 local environmental authorities in Shandong province, whose multi-level microblogging system is seen as a model for other provinces, analysing whether this system improves environmental governance, and whether this objective is impeded by practices aimed at controlling online environmental discourse. We find limited evidence of improved environmental governance, as attested by enhanced information disclosure and citizen engagement. Instead, Environmental Protection Bureau communication appears obstructed by floods of diversionary content. We suggest that while these behaviours are likely driven by misaligned incentives and fears of triggering social unrest, they also support the goal of discursive control by occupation.

This book aims to make a contribution to the understanding of the current system of global environmental governance, its strengths and weaknesses, and the options and opportunities to achieve much needed reform.Call Number: [EL]Physical Description: 90+ p.

Routledge research in global environmental governance. Explore Routledge research in global environmental governance through unique data from The British Library.

The purpose of this study is to develop a state-of-the-art literature review of current academic thinking regarding environmental governance, with a focus on considerations that are relevant to water management and water allocation. The overall perspective is broad, but concerns that are especially pertinent to water and environmental governance in Alberta are emphasized.

How do political authorities in China respond to mounting environmental problems? Moreover, on what basis do they succeed in securing public approval in the realm of environmental governance? In this study, I argue that local authorities perform "symbolic responsiveness" as a strategy to manage public opinion over environmental issues. Furthermore, symbolic responsiveness is effective in generating public approval, despite the lack of, and sometimes at the expense of appreciable improvement in environmental quality. Data collected in 2014-2015.

Data Frame containing variables for actor-level attributes

All of the data files (.csv) required for the Forum Navigation analysis. Includes an actor-actor edgelist, an actor-forum edgelist, an actor-issue edgelist, a forum-issue edgelist, an issue-issue matrix, an isolates dataset, an actor attributes data frame (actor_orgtype.csv) and a forum attributes data frame (ForumSponsorship.csv).

What drives climate policy support in the global South? While extensive research exists on factors influencing climate policy support, limited attention has been given to the unique context of the global South. To address this gap, this research aims to examine the effects of receiving foreign aid and facing foreign shame as potential sources of influence. I argue that the impact of foreign aid and shame is contingent upon the quality of environmental governance in the recipient country, making international influence and domestic gover- nance jointly responsible for shaping opinions on climate policies. The proposed theoretical framework suggests that competing concerns of fairness and corruption serve as mechanisms between foreign influence, governance quality, and climate policy opinions. To investigate this, a survey experiment in Brazil is planned to identify the causal effects on four specific climate policies: payments for environmental services (PES), establishing conservation and restoration areas, carbon taxes, and bans on combustion engines in dense urban areas. The findings of this study have the potential to offer a novel framework for comprehending how foreign influence may impact the political landscape in target countries. Additionally, this research can shed light on the feasibility of adopting climate policies in the global South, especially where public opinion carries significant weight.

Supporting data for the research study “Will Confucian Culture Promote Corporate Environmental Governance.” The study uses A-share listed companies in Shanghai and Shenzhen from 2010 to 2019 and the density of Confucian temples and schools near sample company headquarters to estimate the impact of Confucian culture on corporate environmental governance.

The study uses A-share companies listed in Shanghai and Shenzhen Stock Exchanges in China from 2010 to 2019 as the research samples. The data on enterprise environmental protection expenditure, the Confucian temples, and Confucian schools are obtained from the CNRDS (Chinese Research Data Services Platform) database.

Earthscan library collection. International environmental governance. Explore Earthscan library collection. International environmental governance through unique data from The British Library.

Many accounts of Arctic governance acknowledge that non-state actors have exercised important influence at critical junctures in regional politics. However, we know little about the role of science and business actors in contemporary Arctic governance. POLGOV seeked to address this gap with two main research tasks. First, how and why science and business actors' knowledge claims have gained purchase (or failed to do so) in two Arctic policy fields were assessed. Looking at policy developments in regional biodiversity politics and the development of oil spill prevention/response mechanisms, changes were traced in how the policy problems have been understood over time (process tracing) and seek to map and understand relationships between policy field ‘players’ (network analysis). These are the input data received for the AERI ranking of oil, gas and mining companies operating in the Arctic.

The Australian Antarctic Data Centre's Larsemann Hills topographic GIS dataset was mapped from aerial photography. Refer to the metadata record 'Larsemann Hills - Mapping from aerial photography captured February 1998', Entry ID gis135. Since then GIS data with the locations and attributes of a range of features has been created from various sources, often for the purpose of environmental management. The features include station buildings, refuges, camp sites, management zones, helicopter landing areas, anchorages, beaches, a grave, monuments and Physics equipment. The data are included in the GIS data available for download from a Related URL below. The data conforms to the SCAR Feature Catalogue which includes data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 6. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature, including the origin of the data.

The catalog provides the information about GGP, Sustainable Development, Economic Dimension, Ecological Dimension and Social and Institutional Dimension indices of the 2006 year. Catalog compiled on the base of the data of annual report of such international organizations as the United Nations, Heritage Foundation, World Economic Forum, International Living and Yale University working group on the environment (USA), the Columbia University. The data file contains 97 lines.

Actor-Forum Edgelist